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krintoxi/NoobSec-Toolkit | 38738541cbc03cedb9a3b3ed13b629f781ad64f6 | NoobSecToolkit /scripts/sshbackdoors/backdoors/shell/pupy/pupy/packages/windows/x86/psutil/_psosx.py | python | Process.memory_maps | (self) | return cext.proc_memory_maps(self.pid) | [] | def memory_maps(self):
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owid/covid-19-data | 936aeae6cfbdc0163939ed7bd8ecdbb2582c0a92 | scripts/src/cowidev/vax/incremental/vietnam.py | python | Vietnam.pipe_clean_source_url | (self, df: pd.DataFrame) | return df.assign(source_url=df.source_url.apply(lambda x: x.split("?")[0])) | [] | def pipe_clean_source_url(self, df: pd.DataFrame) -> pd.DataFrame:
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ecederstrand/exchangelib | c7653778f8110d56608ad38c8a92d083c142e660 | exchangelib/services/common.py | python | EWSPagingService._get_pages | (self, payload_func, kwargs, expected_message_count) | return page_elems | Request a page, or a list of pages if multiple collections are pages in a single request. Return each
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saltstack/salt | fae5bc757ad0f1716483ce7ae180b451545c2058 | salt/modules/nilrt_ip.py | python | set_static_all | (interface, address, netmask, gateway, nameservers=None) | return True | Configure specified adapter to use ipv4 manual settings
Change adapter mode to TCP/IP. If previous adapter mode was EtherCAT, the target will need reboot.
:param str interface: interface label
:param str address: ipv4 address
:param str netmask: ipv4 netmask
:param str gateway: ipv4 gateway
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"""
Configure specified adapter to use ipv4 manual settings
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nodesign/weio | 1d67d705a5c36a2e825ad13feab910b0aca9a2e8 | updateMaker/imageTools/prepareWeioFiles.py | python | download | (url) | [] | def download(url):
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ales-tsurko/cells | 4cf7e395cd433762bea70cdc863a346f3a6fe1d0 | packaging/macos/python/lib/python3.7/site-packages/pip/_internal/vcs/versioncontrol.py | python | VersionControl.compare_urls | (cls, url1, url2) | return (cls.normalize_url(url1) == cls.normalize_url(url2)) | Compare two repo URLs for identity, ignoring incidental differences. | Compare two repo URLs for identity, ignoring incidental differences. | [
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Compare two repo URLs for identity, ignoring incidental differences.
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scrapy/scrapy | b04cfa48328d5d5749dca6f50fa34e0cfc664c89 | scrapy/settings/__init__.py | python | BaseSettings.__len__ | (self) | return len(self.attributes) | [] | def __len__(self):
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Neuraxio/Neuraxle | c5627e663ef6d50736bc6a01110afa626fffec07 | neuraxle/steps/loop.py | python | StepClonerForEachDataInput.__getitem__ | (self, item) | return self.steps_as_tuple[item][1] | Get cloned step at the given index.
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gkrizek/bash-lambda-layer | 703b0ade8174022d44779d823172ab7ac33a5505 | bin/docutils/statemachine.py | python | ViewList.trim_end | (self, n=1) | Remove items from the end of the list, without touching the parent. | Remove items from the end of the list, without touching the parent. | [
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numba/llvmlite | aeddf447d4befc336b26bde8c46042553a13cf75 | llvmlite/ir/values.py | python | Function.descr_prototype | (self, buf) | Describe the prototype ("head") of the function. | Describe the prototype ("head") of the function. | [
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Yubico/python-fido2 | 58471d4af1c09cc9fe316771d6203b4844cbc668 | fido2/ctap2/bio.py | python | FPEnrollmentContext.cancel | (self) | Cancels ongoing enrollment. | Cancels ongoing enrollment. | [
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pyglet/pyglet | 2833c1df902ca81aeeffa786c12e7e87d402434b | pyglet/event.py | python | EventDispatcher._remove_handler | (self, name, handler) | Used internally to remove all handler instances for the given event name.
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wradlib/wradlib | 25f9768ddfd69b5c339d8b22d20e45e591eaeb8d | wradlib/atten.py | python | correct_attenuation_hb | (
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coefficients={"a": 1.67e-4, "b": 0.7, "gate_length": 1.0},
mode="except",
thrs=59.0,
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Parameters
----------
gateset : :py:class:`numpy:numpy.ndarray`
multidimensional array. The range gates (over which iteration has to
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gateset : :py:class:`numpy:numpy.ndarray`
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yistLin/pytorch-dual-learning | a2a6ff78cd8643ed86fe56e315848dca6b982e4f | nmt/nmt.py | python | to_input_variable | (sents, vocab, cuda=False, is_test=False) | return sents_var | return a tensor of shape (src_sent_len, batch_size) | return a tensor of shape (src_sent_len, batch_size) | [
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"""
word_ids = word2id(sents, vocab)
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araffin/rl-baselines-zoo | ff84f398a1fae65e18819490bb4e41a201322759 | utils/hyperparams_opt.py | python | sample_ppo2_params | (trial) | return {
'n_steps': n_steps,
'nminibatches': nminibatches,
'gamma': gamma,
'learning_rate': learning_rate,
'ent_coef': ent_coef,
'cliprange': cliprange,
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:param trial: (optuna.trial)
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"""
Sampler for PPO2 hyperparams.
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"""
batch_size = trial.suggest_categorical('batch_size', [32, 64, 128, 256])
n_steps = trial.suggest_categorical('n_steps', [16, 32, 64, 128, 256, 512, 1024, 2048])
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saltstack/salt | fae5bc757ad0f1716483ce7ae180b451545c2058 | salt/beacons/cert_info.py | python | beacon | (config) | return ret | Monitor the certificate files on the minion.
Specify a notification threshold in days and only emit a beacon if any certificates are
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Monitor the certificate files on the minion.
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astropy/photutils | 3caa48e4e4d139976ed7457dc41583fb2c56ba20 | photutils/utils/_wcs_helpers.py | python | _pixel_scale_angle_at_skycoord | (skycoord, wcs, offset=1 * u.arcsec) | return (xpos, ypos), scale, angle | Calculate the pixel coordinate and scale and WCS rotation angle at
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skycoord : `~astropy.coordinates.SkyCoord`
The SkyCoord coordinate.
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airnotifier/airnotifier | 27207bc9e8ee8f3ac9db428a456020d9e55eabda | pushservices/mpns.py | python | MPNSBase.optional_attribute | (self, element, attribute, payload_param, payload) | [] | def optional_attribute(self, element, attribute, payload_param, payload):
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RhetTbull/osxphotos | 231d13279296ee4a242d3140d8abe7b5a5bcc9c0 | osxphotos/photosdb/photosdb.py | python | PhotosDB.keywords | (self) | return list(keywords) | return list of keywords found in photos database | return list of keywords found in photos database | [
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limodou/uliweb | 8bc827fa6bf7bf58aa8136b6c920fe2650c52422 | uliweb/lib/werkzeug/wrappers.py | python | BaseResponse._ensure_sequence | (self, mutable=False) | This method can be called by methods that need a sequence. If
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SeldonIO/alibi | ce961caf995d22648a8338857822c90428af4765 | alibi/explainers/backends/cfrl_tabular.py | python | split_ohe | (X_ohe: 'Union[np.ndarray, torch.Tensor, tf.Tensor]',
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Robot-Will/Stino | a94831cd1bf40a59587a7b6cc2e9b5c4306b1bf2 | libs/serial/serialwin32.py | python | Serial.set_buffer_size | (self, rx_size=4096, tx_size=None) | \
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kuri65536/python-for-android | 26402a08fc46b09ef94e8d7a6bbc3a54ff9d0891 | python-modules/twisted/twisted/conch/client/agent.py | python | SSHAgentClient.getPublicKey | (self) | return None | Return a L{Key} from the first blob in C{self.blobs}, if any, or
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holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/importlib/_bootstrap_external.py | python | _check_name | (method) | return _check_name_wrapper | Decorator to verify that the module being requested matches the one the
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google/brain-tokyo-workshop | faf12f6bbae773fbe535c7a6cf357dc662c6c1d8 | AttentionAgent/misc/communication.py | python | CommunicationHelper.create_cma_request | (roll_out_index,
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microsoft/Oscar | 4788a7425cd0f9861ea80fed79528abbb72eb169 | oscar/modeling/modeling_utils.py | python | top_k_top_p_filtering | (logits, top_k=0, top_p=1.0, filter_value=-float("Inf"), min_tokens_to_keep=1) | return logits | Filter a distribution of logits using top-k and/or nucleus (top-p) filtering
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huggingface/transformers | 623b4f7c63f60cce917677ee704d6c93ee960b4b | src/transformers/modeling_utils.py | python | PoolerAnswerClass.__init__ | (self, config) | [] | def __init__(self, config):
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asyml/texar-pytorch | b83d3ec17e19da08fc5f81996d02f91176e55e54 | texar/torch/data/tokenizers/gpt2_tokenizer.py | python | GPT2Tokenizer._map_token_to_id | (self, token: str) | return self.encoder.get(token, self.encoder.get(self.unk_token)) | r"""Maps a token to an id using the vocabulary. | r"""Maps a token to an id using the vocabulary. | [
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pydicom/pynetdicom | f57d8214c82b63c8e76638af43ce331f584a80fa | pynetdicom/dimse_primitives.py | python | C_GET.Priority | (self, value: int) | Set the *Priority*. | Set the *Priority*. | [
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Bitmessage/PyBitmessage | 97612b049e0453867d6d90aa628f8e7b007b4d85 | src/depends.py | python | check_pyqt | () | return passed | Do pyqt dependency check.
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dipy/dipy | be956a529465b28085f8fc435a756947ddee1c89 | dipy/reconst/qtdmri.py | python | qtdmri_mapmri_isotropic_normalization | (j, l, u0) | return sqrtC | Normalization factor for Spherical MAP-MRI basis. The normalization
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robotlearn/pyrobolearn | 9cd7c060723fda7d2779fa255ac998c2c82b8436 | pyrobolearn/tools/interfaces/controllers/xbox.py | python | XboxControllerInterface.ABS_HAT0Y | (self) | return self.buttons['Dpad'][1] | Directional pad Y position | Directional pad Y position | [
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gramps-project/gramps | 04d4651a43eb210192f40a9f8c2bad8ee8fa3753 | gramps/plugins/textreport/placereport.py | python | PlaceOptions.__event_table_style | (self) | Define the style used for event table | Define the style used for event table | [
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pyparallel/pyparallel | 11e8c6072d48c8f13641925d17b147bf36ee0ba3 | Lib/site-packages/Cython-0.23.4-py3.3-win-amd64.egg/Cython/Compiler/Nodes.py | python | ParallelStatNode.restore_labels | (self, code) | Restore all old labels. Call this before the 'else' clause to for
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triaquae/triaquae | bbabf736b3ba56a0c6498e7f04e16c13b8b8f2b9 | TriAquae/models/django/contrib/localflavor/nl/forms.py | python | NLZipCodeField.clean | (self, value) | return '%s %s' % (value[:4], value[4:]) | [] | def clean(self, value):
super(NLZipCodeField, self).clean(value)
if value in EMPTY_VALUES:
return ''
value = value.strip().upper().replace(' ', '')
if not pc_re.search(value):
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declare-lab/conv-emotion | 0c9dcb9cc5234a7ca8cf6af81aabe28ef3814d0e | emotion-cause-extraction/RoBERTa Baseline/simpletransformers/question_answering/question_answering_utils.py | python | convert_examples_to_features | (
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cls_token_at_end=False,
cls_token="[CLS]",
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sequence_b_segment_id=1,
cls_token_segment_id=0,
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JaidedAI/EasyOCR | 048e8ecb52ace84fb344be6c0ca847340816dfff | easyocr/utils.py | python | reformat_input_batched | (image, n_width=None, n_height=None) | return img, img_cv_grey | reformats an image or list of images or a 4D numpy image array &
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list of byte stream objects] | reformats an image or list of images or a 4D numpy image array &
returns a list of corresponding img, img_cv_grey nd.arrays
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wxWidgets/Phoenix | b2199e299a6ca6d866aa6f3d0888499136ead9d6 | samples/doodle/superdoodle.py | python | ControlPanel.OnSetThickness | (self, event) | Use the event ID to set the thickness in the doodle. | Use the event ID to set the thickness in the doodle. | [
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inspurer/WorkAttendanceSystem | 1221e2d67bdf5bb15fe99517cc3ded58ccb066df | V2.0/venv/Lib/site-packages/pip-9.0.1-py3.5.egg/pip/vcs/git.py | python | Git.get_url | (self, location) | return url.strip() | Return URL of the first remote encountered. | Return URL of the first remote encountered. | [
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omniti-labs/pg_extractor | 6a64eb018704d43a4c549505d85703807aafa6c3 | pg_extractor.py | python | PGExtractor._run_pg_restore | (self, list_file, output_file) | Run pg_restore using a file that can be fed to it using the -L option.
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osmr/imgclsmob | f2993d3ce73a2f7ddba05da3891defb08547d504 | gluon/gluoncv2/models/msdnet.py | python | msdnet22 | (**kwargs) | return get_msdnet(blocks=22, model_name="msdnet22", **kwargs) | MSDNet-22 model from 'Multi-Scale Dense Networks for Resource Efficient Image Classification,'
https://arxiv.org/abs/1703.09844.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
ctx : Context, default CPU
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stanfordnlp/stanza | e44d1c88340e33bf9813e6f5a6bd24387eefc4b2 | stanza/utils/datasets/prepare_tokenizer_treebank.py | python | augment_move_comma | (sents, ratio=0.02) | return new_sents | Move the comma from after a word to before the next word some fraction of the time
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w1, w2
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w1 ,w2
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googleads/google-ads-python | 2a1d6062221f6aad1992a6bcca0e7e4a93d2db86 | google/ads/googleads/v9/services/services/search_term_view_service/transports/grpc.py | python | SearchTermViewServiceGrpcTransport.create_channel | (
cls,
host: str = "googleads.googleapis.com",
credentials: ga_credentials.Credentials = None,
scopes: Optional[Sequence[str]] = None,
**kwargs,
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address (Optionsl[str]): The host for the channel to use.
credentials (Optional[~.Credentials]): The
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scopes: Optional[Sequence[str]] = None,
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redhat-imaging/imagefactory | 176f6e045e1df049d50f33a924653128d5ab8b27 | imagefactory_plugins/vSphere/VSphereHelper.py | python | VSphereHelper.curl_progress | (self, download_t, download_d, upload_t, upload_d) | [] | def curl_progress(self, download_t, download_d, upload_t, upload_d):
curtime=time()
# TODO: Make poke frequency variable
# 5 seconds isn't too much and it makes the status bar in the vSphere GUI look nice :-)
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statsmodels/statsmodels | debbe7ea6ba28fe5bdb78f09f8cac694bef98722 | statsmodels/discrete/discrete_model.py | python | MultinomialResults.summary2 | (self, alpha=0.05, float_format="%.4f") | return smry | Experimental function to summarize regression results
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alpha : float
significance level for the confidence intervals
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significance level for the confidence intervals
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chartbeat-labs/textacy | 40cd12fe953ef8be5958cff93ad8762262f3b757 | src/textacy/text_stats/api.py | python | TextStats.diversity | (self, name: DiversityNameType, **kwargs) | return func(self.words, **kwargs) | Compute a measure of lexical diversity using a method with specified ``name`` ,
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Higher values => higher lexical diversity.
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dimagi/commcare-hq | d67ff1d3b4c51fa050c19e60c3253a79d3452a39 | corehq/apps/hqwebapp/tasks.py | python | process_bounced_emails | () | [] | def process_bounced_emails():
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zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_flaskbb/lib/python2.7/site-packages/sqlalchemy/dialects/mysql/enumerated.py | python | SET.__init__ | (self, *values, **kw) | Construct a SET.
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ANCIR/grano | cee2ec1974df5df2bc6ed5e214f6bd5d201397a4 | grano/views/filters.py | python | property_filters | (cls, q, alias) | return q | Parse the query arguments and apply any specified property
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holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/sympy/diffgeom/diffgeom.py | python | CoordSystem.coord_function | (self, coord_index) | return BaseScalarField(self, coord_index) | Return a ``BaseScalarField`` that takes a point and returns one of the coords.
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IronLanguages/main | a949455434b1fda8c783289e897e78a9a0caabb5 | External.LCA_RESTRICTED/Languages/CPython/27/Lib/ntpath.py | python | join | (a, *p) | return path | Join two or more pathname components, inserting "\\" as needed.
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holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/jupyter_client/threaded.py | python | ThreadedZMQSocketChannel.flush | (self, timeout=1.0) | Immediately processes all pending messages on this channel.
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materialsproject/pymatgen | 8128f3062a334a2edd240e4062b5b9bdd1ae6f58 | pymatgen/analysis/elasticity/elastic.py | python | ElasticTensorExpansion.get_compliance_expansion | (self) | return TensorCollection(ce_exp) | Gets a compliance tensor expansion from the elastic
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Gets a compliance tensor expansion from the elastic
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rowliny/DiffHelper | ab3a96f58f9579d0023aed9ebd785f4edf26f8af | Tool/SitePackages/nltk/corpus/reader/verbnet.py | python | VerbnetCorpusReader._pprint_single_frame | (self, vnframe, indent="") | return frame_string | Returns pretty printed version of a single frame in a VerbNet class
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JDAI-CV/fast-reid | 31d99b793fe0937461b9c9bc8a8a11f88bf5642c | fastreid/modeling/backbones/repvgg.py | python | RepVGGBlock.__init__ | (self, in_channels, out_channels, norm_type, kernel_size,
stride=1, padding=0, groups=1) | [] | def __init__(self, in_channels, out_channels, norm_type, kernel_size,
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openmc-dev/openmc | 0cf7d9283786677e324bfbdd0984a54d1c86dacc | openmc/lib/material.py | python | Material._get_densities | (self) | return nuclide_list, density_array | Get atom densities in a material.
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krintoxi/NoobSec-Toolkit | 38738541cbc03cedb9a3b3ed13b629f781ad64f6 | NoobSecToolkit - MAC OSX/scripts/Hash_ID.py | python | md5saltpass | () | [] | def md5saltpass():
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crazydonkey200/neural-symbolic-machines | a03ff05228cfebcc818b6a901c4d7b0ed459fa7c | nsm/computer_factory.py | python | LispInterpreter.add_constant | (self, value, type, name=None) | return name | Generate the code and variables to hold the constants. | Generate the code and variables to hold the constants. | [
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pwnieexpress/pwn_plug_sources | 1a23324f5dc2c3de20f9c810269b6a29b2758cad | src/metagoofil/hachoir_core/field/helper.py | python | createRawField | (parent, size, name="raw[]", description=None) | [] | def createRawField(parent, size, name="raw[]", description=None):
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iclavera/learning_to_adapt | bd7d99ba402521c96631e7d09714128f549db0f1 | learning_to_adapt/mujoco_py/glfw.py | python | _glfw_get_version | (filename) | Queries and returns the library version tuple or None by using a
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openshift/openshift-tools | 1188778e728a6e4781acf728123e5b356380fe6f | openshift/installer/vendored/openshift-ansible-3.11.28-1/roles/lib_openshift/library/oc_serviceaccount.py | python | OpenShiftCLI._run | (self, cmds, input_data) | return proc.returncode, stdout.decode('utf-8'), stderr.decode('utf-8') | Actually executes the command. This makes mocking easier. | Actually executes the command. This makes mocking easier. | [
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markj3d/Red9_StudioPack | 1d40a8bf84c45ce7eaefdd9ccfa3cdbeb1471919 | core/Red9_PoseSaver.py | python | PosePointCloud.syncdatafromCurrentInstance | (self) | pull existing data back from the metaNode | pull existing data back from the metaNode | [
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playframework/play1 | 0ecac3bc2421ae2dbec27a368bf671eda1c9cba5 | python/Lib/numbers.py | python | Integral.numerator | (self) | return +self | Integers are their own numerators. | Integers are their own numerators. | [
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TencentCloud/tencentcloud-sdk-python | 3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2 | tencentcloud/apigateway/v20180808/apigateway_client.py | python | ApigatewayClient.DescribeLogSearch | (self, request) | 本接口DescribeLogSearch用于搜索日志
:param request: Request instance for DescribeLogSearch.
:type request: :class:`tencentcloud.apigateway.v20180808.models.DescribeLogSearchRequest`
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"""本接口DescribeLogSearch用于搜索日志
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:type request: :class:`tencentcloud.apigateway.v20180808.models.DescribeLogSearchRequest`
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zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_flaskbb/lib/python2.7/site-packages/celery/result.py | python | result_from_tuple | (r, app=None) | return r | Deserialize result from tuple. | Deserialize result from tuple. | [
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joe-siyuan-qiao/DetectoRS | 612916ba89ad6452b07ae52d3a6ec8d34a792608 | mmdet/core/fp16/decorators.py | python | force_fp32 | (apply_to=None, out_fp16=False) | return force_fp32_wrapper | Decorator to convert input arguments to fp32 in force.
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TencentCloud/tencentcloud-sdk-python | 3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2 | tencentcloud/postgres/v20170312/models.py | python | CreateServerlessDBInstanceRequest.__init__ | (self) | r"""
:param Zone: 可用区ID。公测阶段仅支持ap-shanghai-2、ap-beijing-1,ap-guangzhou-2.
:type Zone: str
:param DBInstanceName: DB实例名称，同一个账号下该值必须唯一。
:type DBInstanceName: str
:param DBVersion: PostgreSQL内核版本，目前只支持：10.4。
:type DBVersion: str
:param DBCharset: PostgreSQL数据库字符集，目前支... | r"""
:param Zone: 可用区ID。公测阶段仅支持ap-shanghai-2、ap-beijing-1,ap-guangzhou-2.
:type Zone: str
:param DBInstanceName: DB实例名称，同一个账号下该值必须唯一。
:type DBInstanceName: str
:param DBVersion: PostgreSQL内核版本，目前只支持：10.4。
:type DBVersion: str
:param DBCharset: PostgreSQL数据库字符集，目前支... | [
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beeware/ouroboros | a29123c6fab6a807caffbb7587cf548e0c370296 | ouroboros/email/message.py | python | Message.get_content_charset | (self, failobj=None) | return charset.lower() | Return the charset parameter of the Content-Type header.
The returned string is always coerced to lower case. If there is no
Content-Type header, or if that header has no charset parameter,
failobj is returned. | Return the charset parameter of the Content-Type header. | [
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] | def get_content_charset(self, failobj=None):
"""Return the charset parameter of the Content-Type header.
The returned string is always coerced to lower case. If there is no
Content-Type header, or if that header has no charset parameter,
failobj is returned.
"""
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PYFTS/pyFTS | ad3e857024d0da068feb0d7eae214b55a038a9ca | pyFTS/common/Util.py | python | plot_distribution | (ax, cmap, probabilitydist, fig, time_from, reference_data=None) | Plot forecasted ProbabilityDistribution objects on a matplotlib axis
:param ax: matplotlib axis
:param cmap: matplotlib colormap name
:param probabilitydist: list of ProbabilityDistribution objects
:param fig: matplotlib figure
:param time_from: starting time (on x axis) to begin the plots
:par... | Plot forecasted ProbabilityDistribution objects on a matplotlib axis | [
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] | def plot_distribution(ax, cmap, probabilitydist, fig, time_from, reference_data=None):
"""
Plot forecasted ProbabilityDistribution objects on a matplotlib axis
:param ax: matplotlib axis
:param cmap: matplotlib colormap name
:param probabilitydist: list of ProbabilityDistribution objects
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log2timeline/dftimewolf | 18b4d0760d6a6ca378ac06c2242d04a0d8caf072 | dftimewolf/lib/processors/turbinia_gcp_tam.py | python | TurbiniaGCPProcessorThreaded.Process | (self, disk_container: containers.GCEDisk) | Process a disk with Turbinia.
Args:
disk_container: Container referencing a GCE Disk. | Process a disk with Turbinia. | [
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"""Process a disk with Turbinia.
Args:
disk_container: Container referencing a GCE Disk."""
log_file_path = os.path.join(self._output_path, 'turbinia-{0:s}.log'\
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ming71/mmdetection-annotated | dc25243ea11d9c4cfd517d7c08dfa2fd61e01895 | mmdet/datasets/utils.py | python | random_scale | (img_scales, mode='range') | return img_scale | Randomly select a scale from a list of scales or scale ranges.
Args:
img_scales (list[tuple]): Image scale or scale range.
mode (str): "range" or "value".
Returns:
tuple: Sampled image scale. | Randomly select a scale from a list of scales or scale ranges. | [
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] | def random_scale(img_scales, mode='range'):
"""Randomly select a scale from a list of scales or scale ranges.
Args:
img_scales (list[tuple]): Image scale or scale range.
mode (str): "range" or "value".
Returns:
tuple: Sampled image scale.
"""
num_scales = len(img_scales)
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TengXiaoDai/DistributedCrawling | f5c2439e6ce68dd9b49bde084d76473ff9ed4963 | Lib/site-packages/pip/_vendor/html5lib/treewalkers/__init__.py | python | pprint | (walker) | return "\n".join(output) | Pretty printer for tree walkers | Pretty printer for tree walkers | [
"Pretty",
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"for",
"tree",
"walkers"
] | def pprint(walker):
"""Pretty printer for tree walkers"""
output = []
indent = 0
for token in concatenateCharacterTokens(walker):
type = token["type"]
if type in ("StartTag", "EmptyTag"):
# tag name
if token["namespace"] and token["namespace"] != constants.namespa... | [
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scipy/scipy | e0a749f01e79046642ccfdc419edbf9e7ca141ad | scipy/stats/_multivariate.py | python | wishart_gen.logpdf | (self, x, df, scale) | return _squeeze_output(out) | Log of the Wishart probability density function.
Parameters
----------
x : array_like
Quantiles, with the last axis of `x` denoting the components.
Each quantile must be a symmetric positive definite matrix.
%(_doc_default_callparams)s
Returns
--... | Log of the Wishart probability density function. | [
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"function",
"."
] | def logpdf(self, x, df, scale):
"""Log of the Wishart probability density function.
Parameters
----------
x : array_like
Quantiles, with the last axis of `x` denoting the components.
Each quantile must be a symmetric positive definite matrix.
%(_doc_defau... | [
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IronLanguages/ironpython3 | 7a7bb2a872eeab0d1009fc8a6e24dca43f65b693 | Src/StdLib/Lib/email/_policybase.py | python | Policy.handle_defect | (self, obj, defect) | Based on policy, either raise defect or call register_defect.
handle_defect(obj, defect)
defect should be a Defect subclass, but in any case must be an
Exception subclass. obj is the object on which the defect should be
registered if it is not raised. If the raise_on_defect is Tr... | Based on policy, either raise defect or call register_defect. | [
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] | def handle_defect(self, obj, defect):
"""Based on policy, either raise defect or call register_defect.
handle_defect(obj, defect)
defect should be a Defect subclass, but in any case must be an
Exception subclass. obj is the object on which the defect should be
registered i... | [
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Trusted-AI/adversarial-robustness-toolbox | 9fabffdbb92947efa1ecc5d825d634d30dfbaf29 | examples/inverse_gan_author_utils.py | python | AbstractModel.get_learning_rate | (
self,
init_lr=None,
decay_epoch=None,
decay_mult=None,
iters_per_epoch=None,
decay_iter=None,
global_step=None,
decay_lr=True,
) | Prepares the learning rate.
Args:
init_lr: The initial learning rate
decay_epoch: The epoch of decay
decay_mult: The decay factor
iters_per_epoch: Number of iterations per epoch
decay_iter: The iteration of decay [either this or decay_epoch
... | Prepares the learning rate. | [
"Prepares",
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"learning",
"rate",
"."
] | def get_learning_rate(
self,
init_lr=None,
decay_epoch=None,
decay_mult=None,
iters_per_epoch=None,
decay_iter=None,
global_step=None,
decay_lr=True,
):
"""Prepares the learning rate.
Args:
init_lr: The initial learning rat... | [
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regel/loudml | 0008baef02259a8ae81dd210d3f91a51ffc9ed9f | loudml/bucket.py | python | Bucket.save_timeseries_prediction | (self, prediction, tags=None) | Save time-series prediction to the bucket | Save time-series prediction to the bucket | [
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] | def save_timeseries_prediction(self, prediction, tags=None):
"""
Save time-series prediction to the bucket
"""
for bucket in prediction.format_buckets():
data = bucket['predicted']
data.update({
'@{}'.format(key): val
for key, val i... | [
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google/trax | d6cae2067dedd0490b78d831033607357e975015 | trax/data/text_encoder.py | python | BertBasicEncoder._run_strip_accents | (self, text) | return "".join(output) | Strips accents from a piece of text. | Strips accents from a piece of text. | [
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] | def _run_strip_accents(self, text):
"""Strips accents from a piece of text."""
text = unicodedata.normalize("NFD", text)
output = []
for char in text:
cat = unicodedata.category(char)
if cat == "Mn":
continue
output.append(char)
return "".join(output) | [
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BlackLight/platypush | a6b552504e2ac327c94f3a28b607061b6b60cf36 | platypush/plugins/sun/__init__.py | python | SunPlugin.get_events | (self, latitude: Optional[float] = None, longitude: Optional[float] = None) | return schema.dump({
attr: self._convert_time(t)
for attr, t in response.items()
if attr in schema.declared_fields.keys()
}) | Return the next sun events.
:param latitude: Default latitude override.
:param longitude: Default longitude override.
:return: .. schema:: sun.SunEventsSchema | Return the next sun events. | [
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] | def get_events(self, latitude: Optional[float] = None, longitude: Optional[float] = None) -> dict:
"""
Return the next sun events.
:param latitude: Default latitude override.
:param longitude: Default longitude override.
:return: .. schema:: sun.SunEventsSchema
"""
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googleads/google-ads-python | 2a1d6062221f6aad1992a6bcca0e7e4a93d2db86 | google/ads/googleads/v9/services/services/dynamic_search_ads_search_term_view_service/client.py | python | DynamicSearchAdsSearchTermViewServiceClient.parse_common_location_path | (path: str) | return m.groupdict() if m else {} | Parse a location path into its component segments. | Parse a location path into its component segments. | [
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] | def parse_common_location_path(path: str) -> Dict[str, str]:
"""Parse a location path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path
)
return m.groupdict() if m else {} | [
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openai/mlsh | 2ae2393db0949c087883ca162ff84591a47fbe5d | gym/misc/check_envs_for_change.py | python | cap | (cmd) | Call and print command | Call and print command | [
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"Call and print command"
print utils.colorize(cmd, "green")
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makerbot/ReplicatorG | d6f2b07785a5a5f1e172fb87cb4303b17c575d5d | skein_engines/skeinforge-47/skeinforge_application/skeinforge_utilities/skeinforge_craft.py | python | getCraftPreferences | (pluginName) | return settings.getReadRepository(getCraftModule(pluginName).getNewRepository()).preferences | Get craft preferences. | Get craft preferences. | [
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] | def getCraftPreferences(pluginName):
'Get craft preferences.'
return settings.getReadRepository(getCraftModule(pluginName).getNewRepository()).preferences | [
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GNS3/gns3-server | aff06572d4173df945ad29ea8feb274f7885d9e4 | gns3server/compute/dynamips/hypervisor.py | python | Hypervisor.id | (self) | return self._id | Returns the unique ID for this hypervisor.
:returns: id (integer) | Returns the unique ID for this hypervisor. | [
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"""
Returns the unique ID for this hypervisor.
:returns: id (integer)
"""
return self._id | [
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naszilla/bananas | e2c12ade9e290e309e206fc3c8f97a373a136a81 | nas_bench_201/cell.py | python | Cell.random_cell | (cls, nasbench, max_nodes=4) | return {'string':cls.get_string_from_ops(ops)} | From the AutoDL-Projects repository | From the AutoDL-Projects repository | [
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"""
From the AutoDL-Projects repository
"""
ops = []
for i in range(OP_SPOTS):
op = random.choice(OPS)
ops.append(op)
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thaines/helit | 04bd36ee0fb6b762c63d746e2cd8813641dceda9 | gmm/mixture.py | python | Mixture.getData | (self) | Returns the data contained within, so it can be serialised with other data. (You can of course serialise this class directly if you want, but the returned object is a tuple of numpy arrays, so less likely to be an issue for any program that loads it.) | Returns the data contained within, so it can be serialised with other data. (You can of course serialise this class directly if you want, but the returned object is a tuple of numpy arrays, so less likely to be an issue for any program that loads it.) | [
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Stiivi/bubbles | b3c9332b8a9534655bd77821586e45a5086b1ddc | bubbles/objects.py | python | DataObject.append_from | (self, obj) | Appends data from object `obj` which might be a `DataObject`
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ni/nidaqmx-python | 62fc6b48cbbb330fe1bcc9aedadc86610a1269b6 | nidaqmx/_task_modules/channels/ci_channel.py | python | CIChannel.ci_pulse_freq_dig_fltr_enable | (self) | [] | def ci_pulse_freq_dig_fltr_enable(self):
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jonathf/chaospy | f1a1ba52b87285afdb65ceaf7f8a3a27907bf25e | chaospy/distributions/baseclass/distribution.py | python | Distribution.upper | (self) | return out | Upper bound for the distribution. | Upper bound for the distribution. | [
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Emptyset110/dHydra | 8ec44994ff4dda8bf1ec40e38dd068b757945933 | dHydra/console.py | python | send_command | (
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command_type="sys",
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IronLanguages/ironpython2 | 51fdedeeda15727717fb8268a805f71b06c0b9f1 | Src/StdLib/Lib/distutils/ccompiler.py | python | CCompiler.add_include_dir | (self, dir) | Add 'dir' to the list of directories that will be searched for
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XanaduAI/strawberryfields | 298601e409528f22c6717c2d816ab68ae8bda1fa | strawberryfields/engine.py | python | RemoteEngine.target | (self) | return self._target | The target device used by the engine.
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biolab/orange3 | 41685e1c7b1d1babe680113685a2d44bcc9fec0b | doc/development/source/orange-demo/orangedemo/OWLearningCurveA.py | python | OWLearningCurveA.set_dataset | (self, data) | Set the input train dataset. | Set the input train dataset. | [
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10XGenomics/cellranger | a83c753ce641db6409a59ad817328354fbe7187e | lib/python/cellranger/utils.py | python | load_barcode_csv | (barcode_csv) | return bcs_per_genome | Load a csv file of (genome,barcode) | Load a csv file of (genome,barcode) | [
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kblomqvist/yasha | 56bb1f69077957954e1ebeb77f7273e8dc6a891b | yasha/cmsis.py | python | SvdElement.__init__ | (self, element=None, defaults={}, parent=None) | [] | def __init__(self, element=None, defaults={}, parent=None):
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luispedro/milk | abc2a28b526c199414d42c0a26092938968c3caf | milk/measures/measures.py | python | bayesian_significance | (n, c0, c1) | return min(sig, 1. - sig) | sig = bayesian_significance(n, c0, c1)
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apache/superset | 3d829fc3c838358dd8c798ecaeefd34c502edca0 | superset/migrations/versions/085f06488938_country_map_use_lowercase_country_name.py | python | downgrade | () | Convert all country names to sentence case | Convert all country names to sentence case | [
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mozilla/zamboni | 14b1a44658e47b9f048962fa52dbf00a3beaaf30 | mkt/site/models.py | python | TransformQuerySet.only_translations | (self) | return (self.no_transforms().extra(select={'_only_trans': 1})
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from mkt.translations import transformer
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return (self.no_transforms().extra(select={'_only_trans': 1})
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VLSIDA/OpenRAM | f66aac3264598eeae31225c62b6a4af52412d407 | compiler/characterizer/lib.py | python | lib.write_data_bus_output | (self, read_port) | Adds data bus timing results. | Adds data bus timing results. | [
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pydicom/pynetdicom | f57d8214c82b63c8e76638af43ce331f584a80fa | pynetdicom/apps/qrscp/db.py | python | _search_universal | (elem, session, query=None) | return query | Perform a universal search for empty elements.
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elem : pydicom.dataelem.DataElement
The attribute to perform the search with.
session : sqlalchemy.orm.session.Session
The session we are using to query the database.
query : sqlalchemy.orm.query.Query, optional
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plaid/plaid-python | 8c60fca608e426f3ff30da8857775946d29e122c | plaid/model/bank_transfer_list_request.py | python | BankTransferListRequest.__init__ | (self, *args, **kwargs) | BankTransferListRequest - a model defined in OpenAPI
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apple/ccs-calendarserver | 13c706b985fb728b9aab42dc0fef85aae21921c3 | twistedcaldav/cache.py | python | MemcacheChangeNotifier.changed | (self, url=None) | return self.getCachePool().set(
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"# For shared resources we use the owner URL as the cache key",
"if",
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"self",
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"_resource",
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... | https://github.com/apple/ccs-calendarserver/blob/13c706b985fb728b9aab42dc0fef85aae21921c3/twistedcaldav/cache.py#L116-L134 |
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